Optimal staffing for cyclically scheduled processes

Optimal staffing for cyclically scheduled processes

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Article ID: iaor1999609
Country: United Kingdom
Volume: 35
Issue: 12
Start Page Number: 3393
End Page Number: 3403
Publication Date: Dec 1997
Journal: International Journal of Production Research
Authors: , ,
Keywords: simulation: applications, personnel & manpower planning
Abstract:

Staffing across multiple time periods with uneven demand is a common problem in many organizations. There are many models for optimal cyclic personnel scheduling, but none of these incorporates the optimal number-of-workers problem or the optimal staff-skills-composition problem. In this paper, we introduce a variation on cyclic scheduling that incorporates discrete-event simulation and specialized data collection for a staffing plan as part of a general methodology. The result is a four-step approach based on a stochastic optimization model for scheduling and staffing an organization. We illustrate this approach with a semiconductor manufacturing case study.

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